Evidence map›Paper›PMID 39648285›Full record

ArticleDevelopmental psychobiology2025

Predictive Strength of Auditory Maturity Across Different Levels of Language Ability: An Exploratory Quantile Regression Study.

Theresa Pham, Alyssa Janes, Elaine Kwok, Janis Oram

Abstract read
In one paragraph

Article in Developmental psychobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Theresa PhamSchool of Communication Sciences and Disorders, University of Western Ontario, London, Ontario, Canada.ORCID 0000-0002-3368-8767
Alyssa JanesSchool of Communication Sciences and Disorders, University of Western Ontario, London, Ontario, Canada.ORCID 0000-0003-4840-2095
Elaine KwokSchool of Communication Sciences and Disorders, University of Western Ontario, London, Ontario, Canada.ORCID 0000-0002-4893-2574
Janis OramSchool of Communication Sciences and Disorders, University of Western Ontario, London, Ontario, Canada.ORCID 0000-0002-7170-6145

Funding

Natural Sciences and Engineering Research Council of CanadaOrganization for Autism ResearchScottish Rite Charitable Foundation of Canada
6 · The paper itself

Abstract

Auditory evoked potential-age (AEP-age) is proposed to index auditory maturation and has been found to predict language skills in children with and without a language disorder. However, reporting average effects using linear regression does not fully capitalize on the potential of AEP-age to estimate individual differences in young children. This study used a quantile regression approach to examine the predictive utility of AEP-age for 105 typical and neurodiverse 7-10-year-old children (61 males; 44 females; largely monolingual English) with varying language skills without creating subgroups. Although linear regression did not find an association between AEP-age and language skills, the quantile model added specificity by revealing differential associations. AEP-age was only related to language skills for children at around the median point of the language continuum, but, not for those at the lowest or highest end of the language distribution. Overall, the quantile regression methodology provides us with the flexibility of understanding how AEP-age is related to different language abilities.

Indexed as

Evoked Potentials, AuditoryLanguage DevelopmentAge FactorsAuditory PerceptionChildChild DevelopmentElectroencephalographyFemaleHumansMaleRegression Analysisauditory evoked potentialauditory maturationelectroencephalographylanguage developmentquantile regression

Identifiers

PMID39648285
PMCPMC11625698

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.